Integrating sensors with radio frequency identification (RFID) tags would make RFID systems capable of obtaining environmental parameters. For such sensor tags, the IEEE 1451.7 standard presents a general sensor interface and extensive sensing configurations. This paper presents the hardware and software architecture of a reconfigurable UHF sensor tag platform, RFIDsense, and implements the IEEE 1451.7 protocol based on a Linux platform with a temperature sensor. Test results show that the system is functional and can conduct smart sensing.
This paper presents an NI LabVIEW-basedi Watchdeg Agent@ Teolkit developed by the NSF Center for lntelligent Maintenance Systems <"w"-'.tm.sg.c.n"r.g.;.,,p.st) at the University of Cincinnati. It is a systematic reconfigurable p]atform that accelerates the Prognostics and Health Management (PHM) process through simplification ofPHM design, modeling, and evaluation. A practical and systematic framcwork for PHM applicatiens is introduced with comprehensive detail, National Instrumcnts (NI) hardware and LabVIEW software toolkit are used to develop a reconfigurable prognostic platform for rapid depleyinent and rea!ization ef a predictive system. The LabVIEW-based toolkit consists of several key PHM algerithms fbr health assessment, diagnosis, and prediction. Specifically, the integrated toolkit includes most frequently-used algorithms such as Logistic Regression, Sel"Organizing Map, Neurai Network, Support Vector Machine and others. Ib facilitate the use of the toolkit, some integrated (express VI) funetions and graphical user interfaee were also developed to accelerate the process ot' signa} processing, sensor fusion, health diagnosis and progriosis with minimum analyst manipulation and less external knowledge input. The progriostic platform caR be easily configured and integrated into the efiterprise asset management system to deliver information R)r maintaining optimal performance of the system.
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